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Item Details
| Title:
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MODELING PHASE TRANSITIONS IN THE BRAIN
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| By: |
Alistair Steyn-Ross (Editor), Moira Steyn-Ross (Editor), Walter J. Freeman (Foreword) |
| Format: |
Hardback |
| List price:
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£199.99 |
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We currently do not stock this item, please contact the publisher directly for
further information.
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| ISBN 10: |
1441907955 |
| ISBN 13: |
9781441907950 |
| Publisher: |
SPRINGER-VERLAG NEW YORK INC. |
| Pub. date: |
1 January, 2010 |
| Edition: |
2010 ed. |
| Series: |
Springer Series in Computational Neuroscience 4 |
| Pages: |
306 |
| Description: |
There are two very distinctive approaches to developing mathematical models for brain function and behavior. One approach, exemplified by Traub and colleagues [1] and by the Blue Brain project [2] is to start with a detailed, biophysically accurate description of a single neuron, and then to scale up by assembling hundreds or thousands of interacting neurons to create neural populations, examining the assembly for interesting collective behaviors that emerge spontaneously from these interactions. |
| Synopsis: |
Foreword by Walter J. Freeman.The induction of unconsciousness using anesthetic agents demonstrates that the cerebral cortex can operate in two very different behavioral modes: alert and responsive vs. unaware and quiescent. But the states of wakefulness and sleep are not single-neuron properties---they emerge as bulk properties of cooperating populations of neurons, with the switchover between states being similar to the physical change of phase observed when water freezes or ice melts. Some brain-state transitions, such as sleep cycling, anesthetic induction, epileptic seizure, are obvious and detected readily with a few EEG electrodes; others, such as the emergence of gamma rhythms during cognition, or the ultra-slow BOLD rhythms of relaxed free-association, are much more subtle. The unifying theme of this book is the notion that all of these bulk changes in brain behavior can be treated as phase transitions between distinct brain states.Modeling Phase Transitions in the Brain contains chapter contributions from leading researchers who apply state-space methods, network models, and biophysically-motivated continuum approaches to investigate a range of neuroscientifically relevant problems that include analysis of nonstationary EEG time-series; network topologies that limit epileptic spreading; saddle--node bifurcations for anesthesia, sleep-cycling, and the wake--sleep switch; prediction of dynamical and noise-induced spatiotemporal instabilities underlying BOLD, alpha-, and gamma-band Hopf oscillations, gap-junction-moderated Turing structures, and Hopf-Turing interactions leading to cortical waves. |
| Illustrations: |
14 Tables, black and white; 24 Illustrations, color; 79 Illustrations, |
| Publication: |
US |
| Imprint: |
Springer-Verlag New York Inc. |
| Returns: |
Returnable |
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